A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

1. Let device to enter dfu-mode. And use dfu-util to get available devices

sudo dfu-util -l

It will show like...

Found DFU: [0483:df11] ver=2100, devnum=32, cfg=1, intf=0, alt=3, name="@Device Feature/0xFFFF0000/01*004 g", serial="3262355B3231"
Found DFU: [0483:df11] ver=2100, devnum=32, cfg=1, intf=0, alt=2, name="@OTP Memory /0x1FFF7800/01*512 g,01*016 g", serial="3262355B3231"
Found DFU: [0483:df11] ver=2100, devnum=32, cfg=1, intf=0, alt=1, name="@Option Bytes  /0x1FFFC000/01*016 g", serial="3262355B3231"

This guide walks you through the process of connecting to a Bluetooth device on a Linux system using the bluetoothctl command-line tool. It covers initial setup, scanning, pairing, and connecting procedures, along with troubleshooting tips.

• A Linux distribution with Bluetooth support (e.g., Arch Linux).
• The bluez package installed, which provides bluetoothctl and related utilities.
• A working Bluetooth adapter installed on your system.
• Sudo privileges to execute commands that require root access.

Дата захисту проєкту: СПР411 - 2 травня 2026 року, П35 - 25 березня 2026 року

Приймають: Крістіне Черкезян, Олександр Загоруйко, склад комісії ще уточнюється

Курсовий проєкт є однією з найважливіших форм підготовки фахівця. Він виконується відповідно до навчальних планів і спрямований переважно на набуття практичних умінь і навичок відповідно до обраної спеціальності.